Does a country’s energy security increase with advances in government AI readiness? An empirical panel study

Type of the article: Research ArticleAbstractRecent assessments by the IEA, IRENA, and the World Bank indicate that data- and algorithm-driven operations can enhance energy security by increasing efficiency, reducing curtailment, and stabilizing grids as the renewable share grows, while also warning of ecological trade-offs from rising digital electricity use. Against this backdrop, government AI readiness emerges as a crucial enabling condition, providing the institutional and technological capacity to translate climate and sustainability targets into day-to-day energy system performance. Framed through an environmental lens, the study examines whether government AI readiness acts as an ecological enabler that strengthens energy security by supporting the integration of renewable energy, reducing emissions, and enhancing system resilience. To test this ecological proposition, we assemble a balanced panel of 125 countries (2020–2023), combining the Oxford Insights Government AI Readiness Index with the World Energy Council’s Energy Security Score as an operational proxy for environmentally robust energy systems. Using panel methods (fixed and random effects), with diagnostics for serial correlation, cross-sectional dependence, and heteroskedasticity, and Driscoll-Kraay standard errors for robust inference, we find that in the random-effects specification, a one-point rise in AI readiness is associated with a 0.1104-point improvement in the energy security score (p < 0.001). The effect remains statistically significant after accounting for temporal and cross-sectional dependencies, supporting the view that institutional preparedness to use AI can act as an enabling ecological instrument, facilitating the integration of renewable energy, demand-side efficiency, and system resilience, which together underpin cleaner, more secure energy.AcknowledgmentThis study was prepared as part of the project 101127491-EnergyS4UA-ERASMUS-JMO2023-HEI-TCH-RSCH. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or European Education and Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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Publication Details

Journal
Environmental Economics
Published
2025-12-18
DOI
https://doi.org/10.21511/ee.16(4).2025.12
Citations
2
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
3.58

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article

Does a country’s energy security increase with advances in government AI readiness? An empirical panel study

Aleksandra Kuzior, Serhiy Lyeonov, Талят Бєлялов, Pavlo Mykolaiovych Rubanov et al.
2 citations
Environmental Economics
Global Energy Security and Policy
3.58
article

Does a country’s energy security increase with advances in government AI readiness? An empirical panel study

Aleksandra Kuzior, Serhiy Lyeonov, Талят Бєлялов, Pavlo Mykolaiovych Rubanov, Olena Morozova, Olena Vasiltsova, Ivan Holub
article en
2 citations

Abstract

Type of the article: Research ArticleAbstractRecent assessments by the IEA, IRENA, and the World Bank indicate that data- and algorithm-driven operations can enhance energy security by increasing efficiency, reducing curtailment, and stabilizing grids as the renewable share grows, while also warning of ecological trade-offs from rising digital electricity use. Against this backdrop, government AI readiness emerges as a crucial enabling condition, providing the institutional and technological capacity to translate climate and sustainability targets into day-to-day energy system performance. Framed through an environmental lens, the study examines whether government AI readiness acts as an ecological enabler that strengthens energy security by supporting the integration of renewable energy, reducing emissions, and enhancing system resilience. To test this ecological proposition, we assemble a balanced panel of 125 countries (2020–2023), combining the Oxford Insights Government AI Readiness Index with the World Energy Council’s Energy Security Score as an operational proxy for environmentally robust energy systems. Using panel methods (fixed and random effects), with diagnostics for serial correlation, cross-sectional dependence, and heteroskedasticity, and Driscoll-Kraay standard errors for robust inference, we find that in the random-effects specification, a one-point rise in AI readiness is associated with a 0.1104-point improvement in the energy security score (p < 0.001). The effect remains statistically significant after accounting for temporal and cross-sectional dependencies, supporting the view that institutional preparedness to use AI can act as an enabling ecological instrument, facilitating the integration of renewable energy, demand-side efficiency, and system resilience, which together underpin cleaner, more secure energy.AcknowledgmentThis study was prepared as part of the project 101127491-EnergyS4UA-ERASMUS-JMO2023-HEI-TCH-RSCH. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or European Education and Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Environmental EconomicsVol. 16(4)
Silesian University of Technology (PL), Sumy National Agrarian University (UA), Sumy State University (UA), Economic and Social Research Council (GB), Kyiv National University of Technologies and Design (UA), Ivano-Frankivsk National Technical University of Oil and Gas (UA)
European Commission, European Education and Culture Executive Agency
Openalex Percentile: Top 6%
Global Energy Security and Policy
3.58
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